Understanding agentic AI: Revolutionize your business operations 

The rapid development of the artificial intelligence (AI) landscape is not slowing down. Generative AI revolutionized content creation and now agentic AI expands on these capabilities – creating a level of autonomy AI agents have never had before. This groundbreaking advancement will fundamentally change the way companies operate as it continues to push the limits of AI’s current capabilities.

What is agentic AI?

Agentic AI is the next evolution of AI. Building upon the foundation of traditional AI, rule-based AI that relies on historical data to make decisions, and generative AI, which creates new content using natural language processing (NPL) and other advanced technologies, agentic AI takes things a step further by enabling interactive, autonomous agents that can perform complex tasks and adjust to anomalies in real-time without the need for human intervention.

At its core, agentic AI relies on large language models (LLMs) and machine learning algorithms that are trained on vast amounts of data with data pipelines continuously feeding the AI system with new data to ensure the agents remain up to date with the latest information.

To facilitate real-time interactions, agentic AI systems utilize NPL techniques that enable the agents to understand and generate human-like responses while improving the agents’ performance over time by learning from past interactions and feedback. Being able to understand and respond to natural language inputs makes agentic AI agents highly versatile and capable of adapting to various scenarios.

Agentic AI is not just an incremental improvement over its predecessors; it’s a transformative technology that build upon the aspects of traditional and generative AI to interact with users in a more human-like manner.

How can companies use agentic AI?

Companies can leverage agentic AI in numerous ways to enhance operational efficiency and improve customer experiences. For example, in customer service, agentic AI can streamline interactions by autonomously handling customer inquiries, reducing response times.